Catchment Area Mapping for Logistics Properties

Last updated: April 2026

What Is Catchment Area Mapping for Logistics?

Catchment area mapping evaluates a logistics property's location against the operational criteria that tenants actually use when selecting sites. It goes beyond simple distance-to-motorway metrics to assess labour pool depth, transport connectivity, consumer population density, and competitor facility proximity — the factors that determine which tenants a location can attract and what they are willing to pay.

For investors, catchment area analysis answers a fundamental question: does this location support the tenant types that deliver premium rents and long-term commitment? A building in an area with excellent motorway access but a shallow labour pool may struggle to attract high-throughput operators. A building near dense population but with poor HGV access may be ideal for last-mile delivery but unsuitable for regional distribution. Understanding these dynamics is essential for accurate supply chain cost simulation.

The Four Pillars of Catchment Analysis

1. Labour Availability

Labour availability has become the single most important location factor for logistics occupiers. According to the CBRE European Logistics Occupier Survey 2025, it has overtaken transport connectivity as the top priority — a significant shift from historical patterns.

Logistics operations require large, flexible workforces. A typical 50,000 sqm distribution centre employs 400-800 people across multiple shifts, with seasonal peaks requiring an additional 30-50% temporary workforce. Locations without sufficient workers within commuting distance face chronic understaffing, upward wage pressure, and reduced throughput — all of which erode the tenant's willingness to remain and to pay premium rents.

"Labour availability has overtaken transport connectivity as the top location criterion for logistics occupiers. A site with excellent motorway access but an insufficient local workforce is operationally unviable for most tenants. Catchment analysis must start with people, not roads."

— Raimund Paetzmann, Occupier-Side Strategist, Logivalue

Effective catchment analysis maps the labour pool within 30, 45, and 60-minute commuting bands — using actual commuting routes and public transport, not straight-line distances. It also considers competing employers, local wage levels, and seasonal labour availability from temporary staffing agencies.

2. Transport Connections

Transport connectivity remains critical, but its importance varies dramatically by property type. A cross-dock facility serving a national parcel network requires direct motorway access and sufficient yard space for trailer staging. A last-mile hub requires van-friendly access routes into residential areas. A cold chain facility serving food retailers requires proximity to the retailer's store network, not necessarily to major motorways.

Catchment analysis evaluates transport connectivity through the lens of the target tenant type — which routes matter, what vehicle types are used, and how traffic patterns affect operational windows. A location that appears well-connected for HGV distribution may have severe van congestion during the evening delivery window that last-mile operators depend on.

3. Population Density and Consumer Reach

For last-mile and city delivery operations, the number of consumers reachable within specific delivery windows is the primary economic driver. Catchment analysis maps population density within 30-minute, 60-minute, and 90-minute delivery bands, accounting for traffic patterns during actual delivery windows — typically 14:00-21:00 for residential e-commerce.

This analysis directly affects property value. Locations that reach more consumers within tighter delivery windows attract last-mile operators willing to pay the 45% rental premium documented by Savills Investment Management. Locations that fall outside critical delivery windows are limited to standard distribution tenants at lower rents.

4. Competitor and Complementary Facility Proximity

The presence of competing logistics facilities within a catchment area affects both labour availability and tenant demand. Dense logistics clusters create competition for workers, driving up wages and reducing workforce stability. However, they also create agglomeration benefits — shared transport infrastructure, established staffing agencies, and proven operational viability that reduces tenant risk perception.

Catchment analysis maps existing logistics facilities within the area, identifying whether the competitive dynamics favour or penalise the property. In some cases, proximity to a competitor's facility is a positive signal: a parcel carrier may specifically seek a site near an existing competitor to reduce network coverage gaps.

How Catchment Analysis Drives Investment Decisions

The practical output of catchment area mapping is a clear view of which tenant types a location can realistically support — and which it cannot. This feeds directly into use case identification and spec alignment, ensuring that the building is positioned for the tenants most likely to pay premium rents.

"Catchment area analysis is not about drawing circles on a map. It is about understanding — through the eyes of the operator — whether a location can sustain the workforce, the delivery routes, and the consumer reach that a specific tenant type requires. That operational lens is what separates useful analysis from geographic generalisation."

— Carl-Friedrich zu Knyphausen, Managing Director, Logivalue

Consider two buildings in the same submarket, 5 kilometres apart. Traditional location analysis might rate them equivalently. Catchment analysis reveals that Building A sits within 30 minutes of a labour pool of 180,000 workers, while Building B — across a river with limited bridge crossings — reaches only 95,000 workers within the same commute time. For a high-throughput fulfilment centre, that difference determines whether the operation is viable.

From Catchment to Valuation

Catchment area mapping is a core input to Logivalue's supply chain cost simulation. The catchment data feeds into the 42 site variables that model each property against 65 occupier scoring profiles, producing a ranked list of tenant types by willingness-to-pay.

For a comprehensive overview of how catchment analysis fits within the full valuation methodology, see our complete guide to logistics real estate valuation. For guidance on aligning building specifications with the tenant types identified through catchment analysis, see our guide to building spec alignment.